169 lines
4.7 KiB
Python
169 lines
4.7 KiB
Python
"""
|
|
Tests that comments are properly handled during parsing
|
|
for all of the parsers defined in parsers.py
|
|
"""
|
|
from io import StringIO
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
from pandas import DataFrame
|
|
import pandas._testing as tm
|
|
|
|
pytestmark = pytest.mark.usefixtures("pyarrow_skip")
|
|
|
|
|
|
@pytest.mark.parametrize("na_values", [None, ["NaN"]])
|
|
def test_comment(all_parsers, na_values):
|
|
parser = all_parsers
|
|
data = """A,B,C
|
|
1,2.,4.#hello world
|
|
5.,NaN,10.0
|
|
"""
|
|
expected = DataFrame(
|
|
[[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"]
|
|
)
|
|
result = parser.read_csv(StringIO(data), comment="#", na_values=na_values)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"read_kwargs", [{}, {"lineterminator": "*"}, {"delim_whitespace": True}]
|
|
)
|
|
def test_line_comment(all_parsers, read_kwargs, request):
|
|
parser = all_parsers
|
|
data = """# empty
|
|
A,B,C
|
|
1,2.,4.#hello world
|
|
#ignore this line
|
|
5.,NaN,10.0
|
|
"""
|
|
if read_kwargs.get("delim_whitespace"):
|
|
data = data.replace(",", " ")
|
|
elif read_kwargs.get("lineterminator"):
|
|
if parser.engine != "c":
|
|
mark = pytest.mark.xfail(
|
|
reason="Custom terminator not supported with Python engine"
|
|
)
|
|
request.node.add_marker(mark)
|
|
|
|
data = data.replace("\n", read_kwargs.get("lineterminator"))
|
|
|
|
read_kwargs["comment"] = "#"
|
|
result = parser.read_csv(StringIO(data), **read_kwargs)
|
|
|
|
expected = DataFrame(
|
|
[[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"]
|
|
)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
def test_comment_skiprows(all_parsers):
|
|
parser = all_parsers
|
|
data = """# empty
|
|
random line
|
|
# second empty line
|
|
1,2,3
|
|
A,B,C
|
|
1,2.,4.
|
|
5.,NaN,10.0
|
|
"""
|
|
# This should ignore the first four lines (including comments).
|
|
expected = DataFrame(
|
|
[[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"]
|
|
)
|
|
result = parser.read_csv(StringIO(data), comment="#", skiprows=4)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
def test_comment_header(all_parsers):
|
|
parser = all_parsers
|
|
data = """# empty
|
|
# second empty line
|
|
1,2,3
|
|
A,B,C
|
|
1,2.,4.
|
|
5.,NaN,10.0
|
|
"""
|
|
# Header should begin at the second non-comment line.
|
|
expected = DataFrame(
|
|
[[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"]
|
|
)
|
|
result = parser.read_csv(StringIO(data), comment="#", header=1)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
def test_comment_skiprows_header(all_parsers):
|
|
parser = all_parsers
|
|
data = """# empty
|
|
# second empty line
|
|
# third empty line
|
|
X,Y,Z
|
|
1,2,3
|
|
A,B,C
|
|
1,2.,4.
|
|
5.,NaN,10.0
|
|
"""
|
|
# Skiprows should skip the first 4 lines (including comments),
|
|
# while header should start from the second non-commented line,
|
|
# starting with line 5.
|
|
expected = DataFrame(
|
|
[[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"]
|
|
)
|
|
result = parser.read_csv(StringIO(data), comment="#", skiprows=4, header=1)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
@pytest.mark.parametrize("comment_char", ["#", "~", "&", "^", "*", "@"])
|
|
def test_custom_comment_char(all_parsers, comment_char):
|
|
parser = all_parsers
|
|
data = "a,b,c\n1,2,3#ignore this!\n4,5,6#ignorethistoo"
|
|
result = parser.read_csv(
|
|
StringIO(data.replace("#", comment_char)), comment=comment_char
|
|
)
|
|
|
|
expected = DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
@pytest.mark.parametrize("header", ["infer", None])
|
|
def test_comment_first_line(all_parsers, header):
|
|
# see gh-4623
|
|
parser = all_parsers
|
|
data = "# notes\na,b,c\n# more notes\n1,2,3"
|
|
|
|
if header is None:
|
|
expected = DataFrame({0: ["a", "1"], 1: ["b", "2"], 2: ["c", "3"]})
|
|
else:
|
|
expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"])
|
|
|
|
result = parser.read_csv(StringIO(data), comment="#", header=header)
|
|
tm.assert_frame_equal(result, expected)
|
|
|
|
|
|
def test_comment_char_in_default_value(all_parsers, request):
|
|
# GH#34002
|
|
if all_parsers.engine == "c":
|
|
reason = "see gh-34002: works on the python engine but not the c engine"
|
|
# NA value containing comment char is interpreted as comment
|
|
request.node.add_marker(pytest.mark.xfail(reason=reason, raises=AssertionError))
|
|
parser = all_parsers
|
|
|
|
data = (
|
|
"# this is a comment\n"
|
|
"col1,col2,col3,col4\n"
|
|
"1,2,3,4#inline comment\n"
|
|
"4,5#,6,10\n"
|
|
"7,8,#N/A,11\n"
|
|
)
|
|
result = parser.read_csv(StringIO(data), comment="#", na_values="#N/A")
|
|
expected = DataFrame(
|
|
{
|
|
"col1": [1, 4, 7],
|
|
"col2": [2, 5, 8],
|
|
"col3": [3.0, np.nan, np.nan],
|
|
"col4": [4.0, np.nan, 11.0],
|
|
}
|
|
)
|
|
tm.assert_frame_equal(result, expected)
|